Literature DB >> 9174182

Modeling the response of pneumonia to antimicrobial therapy.

J M Hyatt1, A B Luzier, A Forrest, C H Ballow, J J Schentag.   

Abstract

The response to antimicrobial therapy in patients with pneumonia was assessed by using a previously developed pneumonia scoring system. Patients from two different clinical trials were evaluated. The first group (n = 22) was treated with cefmenoxime. For these patients, doses were adjusted to achieve an area under the plasma concentration-versus-time curve (AUC) above the MIC of 140 microg x h/ml and pneumonia response scores were evaluated retrospectively. The second group (n = 21) were treated with either ciprofloxacin (CIP) or ceftazidime (TAZ) in a randomized clinical trial. Here, doses were adjusted to achieve AUC from 0 to 24 h/MIC values that were > 250 SIT(-1) x h (estimate of the area under the curve of inverse serum inhibitory titer versus time) and pneumonia response scoring was concurrent. In both studies eradication of the pathogen was determined by serial endotracheal cultures and clinical parameters were scored daily. A decrease in total score was indicative of an improving clinical condition. The percent change in clinical daily score was determined for each day of treatment. The rate of clinical response was determined by linear regression of the percent change in daily clinical score versus time during the course of antimicrobial therapy. Factors predictive of time to eradication were explored by interval analysis. Logistic regression was used to determine the earliest time point in therapy at which treatment scores predicted outcome. Kruskal-Wallis analysis of variance was used for statistical analysis, and significance was accepted at P < 0.05. There were no differences in baseline scores at day one for the patients treated with different antibiotics (P = 0.58). For patients with pathogen eradication, a significant difference between the two studies in time to eradication was found: 4.8 days for cefmenoxime-treated patients and 1.4 days for CIP- or TAZ-treated patients (P < 0.001). For patients experiencing bacterial eradication, the rates of clinical change for cefmenoxime and CIP or TAZ treatment were similar (P = 0.77). For patients with organisms that were not eradicated, the rates of change were similar (P = 0.14). There was a significant difference in the rate of change for patients experiencing eradication compared with that for patients in which the organism persisted (P << 0.01). Both treatment group and rate were found to be predictive of days to eradication. There was a significant difference in the percent change in clinical score on day 3 of therapy for patients with bacteria that were eradicated versus those with persistent organisms (P < 0.01). The percent change was more predictive of outcome with each subsequent day. Patients who demonstrated a > or = 10% reduction in clinical score after 72 h of treatment had an 88% probability of bacterial eradication. The clinical scoring system is a useful tool for modeling the response of pneumonia to antimicrobial therapy. The ability to predict outcome relatively early in therapy, by using a scoring system of clinical parameters which can be routinely monitored, will aid in assessing the response to antimicrobial therapy in clinical as well as in research settings.

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Year:  1997        PMID: 9174182      PMCID: PMC163898          DOI: 10.1128/AAC.41.6.1269

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  17 in total

1.  Simplified acute physiological score for intensive care patients.

Authors:  J R Le Gall; P Loirat; A Alperovitch
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2.  Prospective randomized controlled study of ciprofloxacin versus imipenem-cilastatin in severe clinical infections.

Authors:  H Lode; R Wiley; G Höffken; J Wagner; K Borner
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3.  A multicentre prospective randomized trial comparing ceftazidime with cefazolin/tobramycin in the treatment of hospitalized patients with non-pneumococcal pneumonia.

Authors:  L A Mandell; L E Nicolle; A R Ronald; R Duperval; H G Robson; R Feld; J Vincelette; I Fong
Journal:  J Antimicrob Chemother       Date:  1983-07       Impact factor: 5.790

4.  Use of ceftazidime in the treatment of nosocomial lower respiratory infections.

Authors:  G M Trenholme; J C Pottage; P H Karakusis
Journal:  Am J Med       Date:  1985-08-09       Impact factor: 4.965

5.  APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

6.  Role for dual individualization with cefmenoxime.

Authors:  J J Schentag; I L Smith; D J Swanson; C DeAngelis; J E Fracasso; A Vari; J W Vance
Journal:  Am J Med       Date:  1984-12-21       Impact factor: 4.965

7.  Randomised comparison of ceftriaxone and cefamandole therapy in lower respiratory tract infections in an elderly population.

Authors:  M J Bittner; M P Pugsley; E A Horowitz; D G Strike; C C Sanders; L C Preheim
Journal:  J Antimicrob Chemother       Date:  1986-11       Impact factor: 5.790

8.  Mathematical examination of dual individualization principles (II): The rate of bacterial eradication at the same area under the inhibitory curve is more rapid for ciprofloxacin than for cefmenoxime.

Authors:  T F Goss; A Forrest; D E Nix; C H Ballow; M C Birmingham; T J Cumbo; J J Schentag
Journal:  Ann Pharmacother       Date:  1994 Jul-Aug       Impact factor: 3.154

9.  Treatment with aztreonam or tobramycin in critical care patients with nosocomial gram-negative pneumonia.

Authors:  J J Schentag; A J Vari; N E Winslade; D J Swanson; I L Smith; G W Simons; A Vigano
Journal:  Am J Med       Date:  1985-02-08       Impact factor: 4.965

10.  A comparison of three severity score indexes in an evaluation of serious bacterial pneumonia.

Authors:  A Durocher; F Saulnier; R Beuscart; F Dievart; F Bart; R Deturck; F Wattel
Journal:  Intensive Care Med       Date:  1988       Impact factor: 17.440

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  2 in total

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Authors:  Pamela A Moise-Broder; Alan Forrest; Mary C Birmingham; Jerome J Schentag
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

2.  New Fluoroquinolones: Real and Potential Roles.

Authors: 
Journal:  Curr Infect Dis Rep       Date:  1999-12       Impact factor: 3.663

  2 in total

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